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Paper and LLMs

Paper and LLMs

3D Modeling and Reconstruction: Luma's NeRF and meshing models empower developers to capture the world in lifelike 3D, enabling the creation of high-quality 3D assets and environments . Scalability: Developers can leverage the Luma API to generate 3D content at scale, making it suitable for a wide range of applications, from gaming to virtual experiences. Python and CLI Client: The API includes a Python and CLI client for ease of integration and usage .

Synchronization of Source Data: At its core, Neum AI facilitates real-time connection and synchronization of diverse data into vector stores, thus improving the reliability of responses from LLM (Large Language Models)[1][2][4]. Integration and Versatility: The platform stands out with its adaptability, allowing users to connect multiple data sources, incorporate their embedding models, and opt from a range of vector stores[2][3]. Rapid Updating: By constructing robust pipelines, Neum AI can refresh vector stores within minutes, ensuring AI applications are consistently delivering on-point and relevant information[3]. Diverse Data Source Compatibility: Neum AI's flexibility extends to its compatibility with a variety of databases, including SQL, document DBs, and Postgres, underscoring its universal application potential[2][4][6].

Pay as you go

Free Try

Yes

Open API

Other

https://lumalabs.ai/

https://www.neum.ai/